作者: Camouflage 時間: 2025-3-21 21:06
Entropy, Combinatorial Dimensions and Random Averages function-class setup. Using this parameter we establish entropy bounds for subsets of the .-dimensional unit cube, and in particular, we present new bounds on the empirical covering numbers and gaussian averages associated with classes of functions in terms of the fat-shattering dimension.作者: Accede 時間: 2025-3-22 03:17 作者: Tdd526 時間: 2025-3-22 06:15
Path Kernels and Multiplicative Updatesroducts for all paths are summed. We also have a set of probabilities on the edges so that the outflow from each node is one. We then discuss multiplicative updates on these graphs where the prediction is essentially a kernel computation and the update contributes a factor to each edge. Now the tota作者: fabricate 時間: 2025-3-22 10:07 作者: 聯(lián)邦 時間: 2025-3-22 15:06 作者: 聯(lián)邦 時間: 2025-3-22 19:38 作者: MEET 時間: 2025-3-22 23:29 作者: 原諒 時間: 2025-3-23 02:40
Learning Tree Languages from Text2000 paper is generalizable from the case of string languages towards tree languages, hence providing a large source of identifiable classes of regular tree languages. Each of these classes can be characterized in various ways. Moreover, we present a generic inference algorithm with polynomial updat作者: 被告 時間: 2025-3-23 07:33
Polynomial Time Inductive Inference of Ordered Tree Patterns with Internal Structured Variables fromtured pattern in such tree structured data, we propose an ordered tree pattern, called a term tree, which is a rooted tree pattern consisting of ordered children and internal structured variables. A term tree is a generalization of standard tree patterns representing first order terms in formal logi作者: 寒冷 時間: 2025-3-23 09:59
Inferring Deterministic Linear Languagesministic linear grammars, and for a reasonable definition prove the existence of a canonical normal form. This enables us to obtain positive learning results in case of polynomial learning from a given set of both positive and negative examples. The resulting class is the largest one for which this 作者: AUGUR 時間: 2025-3-23 14:40 作者: seroma 時間: 2025-3-23 21:19
The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictionsn .(.). Instead of using the unknown .(.) he predicts using the celebrated universal enumerable prior .(.) which for all . exceeds any recursive .(.), save for a constant factor independent of .. The simplicity measure .(.) naturally implements “Occam’s razor” and is closely related to the Kolmogoro作者: 向下五度才偏 時間: 2025-3-24 00:07 作者: aplomb 時間: 2025-3-24 06:14
Exploring Learnability between Exact and PACxamples to equivalence queries are distributionally drawn rather than adversarially chosen or as the Probably Approximately Correct (PAC) model strengthened to require a perfect hypothesis. We also introduce a model of Probably Almost Exactly Correct (PAExact) learning that requires a hypothesis wit作者: interrogate 時間: 2025-3-24 09:52 作者: Tempor 時間: 2025-3-24 13:06 作者: Fatten 時間: 2025-3-24 16:34
Agnostic Learning Nonconvex Function Classesre positively, we show one can obtain “fast” sample complexity bounds for nonconvex . for “most” target conditional expectations. The new bounds depend on the detailed geometry of ., in particular the distance in a certain sense of the target’s conditional expectation from the set of nonuniqueness points of the class ..作者: agnostic 時間: 2025-3-24 22:53
Learning Tree Languages from Texte time and prove its correctness. In this way, we generalize previous works of Angluin, Sakakibara and ourselves. Moreover, we show that this way all regular tree languages can be identified approximately.作者: Suppository 時間: 2025-3-25 02:35 作者: lymphoma 時間: 2025-3-25 06:42
https://doi.org/10.1007/978-3-642-82224-7e time and prove its correctness. In this way, we generalize previous works of Angluin, Sakakibara and ourselves. Moreover, we show that this way all regular tree languages can be identified approximately.作者: 樹木中 時間: 2025-3-25 08:34
Kommunikationskonflikthypothesen,arget function and the number of queries it needs to make, where the advantage of an algorithm is the probability it succeeds in predicting a label minus the probability it doesn’t. Both lower bounds extend and/or strengthen previous results, and solved an open problem left in [.].作者: compassion 時間: 2025-3-25 13:05
New Lower Bounds for Statistical Query Learningarget function and the number of queries it needs to make, where the advantage of an algorithm is the probability it succeeds in predicting a label minus the probability it doesn’t. Both lower bounds extend and/or strengthen previous results, and solved an open problem left in [.].作者: Urgency 時間: 2025-3-25 17:14 作者: Repetitions 時間: 2025-3-25 20:33 作者: Psa617 時間: 2025-3-26 03:57 作者: Amylase 時間: 2025-3-26 06:55 作者: irritation 時間: 2025-3-26 09:51
,Zur F?rderung des Strukturierens,riteria in the uniform model are considered. The main result is that for any pair (., .) of different inference criteria considered here there exists a fixed set of descriptions of learning problems from ., such that its union with any uniformly .-learnable collection is uniformly .-learnable, but no longer uniformly .-learnable.作者: pancreas 時間: 2025-3-26 13:47 作者: Counteract 時間: 2025-3-26 19:31 作者: Commonplace 時間: 2025-3-26 23:46
https://doi.org/10.1007/978-3-531-91030-7als)..We then apply the above and some other results from the literature to Agnostic learning and give negative and positive results for Agnostic learning and PAC learning with malicious errors of the above classes.作者: 使乳化 時間: 2025-3-27 03:23
Path Kernels and Multiplicative Updateseach node is one again. Finally we discuss the use of regular expressions for speeding up the kernel and re-normalization computation. In particular we rewrite the multiplicative algorithms that predict as well as the best pruning of a series parallel graph in terms of efficient kernel computations.作者: Sinus-Rhythm 時間: 2025-3-27 06:52
Predictive Complexity and Informationve complexity into sequences of essentially bigger predictive complexity. A concept of amount of predictive information .(.: .) is studied. We show that this information is non-commutative in a very strong sense and present asymptotic relations between values .(.: .), .(.: .), .(.) and .(.).作者: 男生如果明白 時間: 2025-3-27 09:30
A Second-Order Perceptron Algorithmms, we also design a refined version of the second-order Perceptron algorithm which adaptively sets the value of this parameter. For this second algorithm we are able to prove mistake bounds corresponding to a nearly optimal constant setting of the parameter.作者: 中古 時間: 2025-3-27 16:01 作者: 舊石器 時間: 2025-3-27 17:51
Merging Uniform Inductive Learnersriteria in the uniform model are considered. The main result is that for any pair (., .) of different inference criteria considered here there exists a fixed set of descriptions of learning problems from ., such that its union with any uniformly .-learnable collection is uniformly .-learnable, but no longer uniformly .-learnable.作者: B-cell 時間: 2025-3-28 01:22 作者: 刻苦讀書 時間: 2025-3-28 02:51
PAC Bounds for Multi-armed Bandit and Markov Decision ProcessesProcesses. This is done essentially by simulating Value Iteration, and in each iteration invoking the multi-armed bandit algorithm. Using our PAC algorithm for the multi-armed bandit problem we improve the dependence on the number of actions.作者: DEBT 時間: 2025-3-28 09:12
Bounds for the Minimum Disagreement Problem with Applications to Learning Theoryals)..We then apply the above and some other results from the literature to Agnostic learning and give negative and positive results for Agnostic learning and PAC learning with malicious errors of the above classes.作者: Abrade 時間: 2025-3-28 11:41
Erkenntnisbeitrag der Untersuchung,bounds on generalization error in terms of localized Rademacher complexities. This allows us to prove new results about generalization performance for convex hulls in terms of characteristics of the base class. As a byproduct, we obtain a simple proof of some of the known bounds on the entropy of convex hulls.作者: 事先無準(zhǔn)備 時間: 2025-3-28 16:01
Some Local Measures of Complexity of Convex Hulls and Generalization Boundsbounds on generalization error in terms of localized Rademacher complexities. This allows us to prove new results about generalization performance for convex hulls in terms of characteristics of the base class. As a byproduct, we obtain a simple proof of some of the known bounds on the entropy of convex hulls.作者: Urologist 時間: 2025-3-28 19:31 作者: Hangar 時間: 2025-3-29 02:03 作者: 鎮(zhèn)壓 時間: 2025-3-29 07:09 作者: Interstellar 時間: 2025-3-29 07:15
,Organisationen als konflikt?re Systeme, limit (this assumption is more radical and stronger than Solomonoff’s). Then we replace . by the novel Speed Prior ., under which the cumulative a priori probability of all data whose computation through an optimal algorithm requires more than .(.) resources is 1/.. We show that the Speed Prior all作者: 殺子女者 時間: 2025-3-29 13:47 作者: 很是迷惑 時間: 2025-3-29 18:40
0302-9743 Overview: Includes supplementary material: 978-3-540-43836-6978-3-540-45435-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 處理 時間: 2025-3-29 20:42 作者: 2否定 時間: 2025-3-30 03:36
https://doi.org/10.1007/978-3-322-87972-1that for many non-mixable games .(.) still converges to 1. The condition .(.) → 1 is shown to imply the existence of weak predictive complexity and it is proved that many games specify complexity up to √..作者: 優(yōu)雅 時間: 2025-3-30 07:37 作者: CHOIR 時間: 2025-3-30 09:33
Entropy, Combinatorial Dimensions and Random Averages function-class setup. Using this parameter we establish entropy bounds for subsets of the .-dimensional unit cube, and in particular, we present new bounds on the empirical covering numbers and gaussian averages associated with classes of functions in terms of the fat-shattering dimension.作者: Reclaim 時間: 2025-3-30 13:39
Mixability and the Existence of Weak Complexitiesthat for many non-mixable games .(.) still converges to 1. The condition .(.) → 1 is shown to imply the existence of weak predictive complexity and it is proved that many games specify complexity up to √..作者: Water-Brash 時間: 2025-3-30 19:38 作者: BAIT 時間: 2025-3-30 21:09 作者: 寬容 時間: 2025-3-31 00:58 作者: podiatrist 時間: 2025-3-31 06:20
https://doi.org/10.1007/978-3-642-88312-5vex then one can obtain better sample complexity bounds than usual. It has been claimed that there is a lower bound that showed there was an essential gap in the rate. In this paper we show that the lower bound proof has a gap in it. Although we do not provide a definitive answer to its validity. Mo作者: 敬禮 時間: 2025-3-31 10:45 作者: 攝取 時間: 2025-3-31 15:34
Erkenntnisbeitrag der Untersuchung,obtain bounds on the continuity modulus on the convex hull of a function class in terms of the same quantity for the class itself. We also obtain new bounds on generalization error in terms of localized Rademacher complexities. This allows us to prove new results about generalization performance for作者: 不法行為 時間: 2025-3-31 17:54 作者: 滔滔不絕的人 時間: 2025-3-31 22:55 作者: 敵手 時間: 2025-4-1 05:18
https://doi.org/10.1007/978-3-322-87972-1that for many non-mixable games .(.) still converges to 1. The condition .(.) → 1 is shown to imply the existence of weak predictive complexity and it is proved that many games specify complexity up to √..作者: modish 時間: 2025-4-1 08:35
https://doi.org/10.1007/978-3-322-87972-1he data. We analyze the second-order Perceptron algorithm in the mistake bound model of on-line learning and prove bounds in terms of the eigenvalues of the Gram matrix created from the data. The performance of the second-order Perceptron algorithm is affected by the setting of a parameter controlli作者: FOIL 時間: 2025-4-1 11:16 作者: 新手 時間: 2025-4-1 15:53 作者: 珊瑚 時間: 2025-4-1 19:03 作者: 確定 時間: 2025-4-2 01:48
,Zur F?rderung des Strukturierens,ministic linear grammars, and for a reasonable definition prove the existence of a canonical normal form. This enables us to obtain positive learning results in case of polynomial learning from a given set of both positive and negative examples. The resulting class is the largest one for which this
